MEMO27 is a fine-grained Multi-label EMOtion decoding dataset based on a publicly available fMRI datasetavailable at https://doi.org/10.6084/m9.figshare.11988351.v1, which contains the blood-oxygen-level dependent (BOLD) responses of five subjects. fMRI data were collected using a 3T Siemens scanner with a multiband gradient Echo-Planar Imaging (EPI) sequence (TR, 2000 ms; TE, 43 ms; flip angle, 80 deg; FOV, 192 × 192 mm; voxel size, 2 × 2 × 2 mm; number of slices, 76; multiband factor, 4) [1]}. Subjects were presented with 2196 videos whose durations ranged from 0.15s to 90s [1]}. These videos can provoke a variety of emotions. Each video was voted by multiple raters across 34 emotion categories and the voting ratio of each emotion category was used as the rating of that emotion category. The fMRI data was preprocessed and averaged with each video stimulus [1]} which means the brain activity of one voxel is a scalar for a video stimulus. We use HCP360 atlas defined in [4]} to segment the cerebral cortex of each subject in MEMO27 into 360 ROIs (180 ROIs per hemisphere) as illustrated in [1]}.
